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AI Creation · 2026

Lookalike

Find the celebrity/blogger who looks most like you: ArcFace embeddings + LMM 'vibe' reasoning + Faiss retrieval

Role
Individual Contributor
Affiliation / Context
Individual project
Year
2026
Scale
Small
Tech Stack
ArcFace Embeddings · Multimodal LLM · Faiss Vector Retrieval
Creation Social Recommendation CV

Case Study

Find the blogger or celebrity who looks most like you!

demo link

1. Dual-Engine Matching Mechanism

Precision Layer: Used ArcFace/InsightFace for high-dimensional facial embedding extraction and Cosine Similarity for structural accuracy.

Semantic Layer: Leveraged LMM (e.g., Gemini Vision) to decode high-level "vibe" (aesthetic, makeup, expression), providing reasoning beyond simple pixel matching.

2. Automated Database Scaling

Dynamic Sourcing: Built a pipeline to scrape and filter rising influencers, ensuring the database stays culturally relevant.

LMM Auto-Tagging: Used Multimodal Models to automatically index profiles with style/persona tags, stored in Faiss/Milvus for sub-second vector retrieval.

similar project: Presearch's Drag & Drop Creator Discovery

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